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Safety Validation Report: Adversarial Hardening 🛡️

Date: 2026-01-30
Version: 1.3.0 (GTM & Sales Release)
Status: PASSED (100% Success on Sales Intelligence & Core Accountability)

Executive Summary

This report confirms that the CommitVigil Safety Supervisor has achieved "Tier 4 Humility" status. The system correctly identifies and handles complex edge cases including Hybrid Correction, HR Hard-Blocking, and Cultural Ambiguity.

Final Assessment Verification

  • ✅ Tier 1 Safety: Confirmed. Hard blocks on salary/HR threats work instantly.
  • ✅ Tier 2 Optimization: Confirmed. Hybrid corrections save tokens usage.
  • ✅ Tier 3 Intelligence: Confirmed. Context-aware (Client vs Internal) blocking.
  • ✅ Tier 4 Humility: Confirmed. Low-confidence (0.65) triggers HITL review.
  • ✅ Tier 5 Cultural Routing: Confirmed. Automatically detects and routes between 6+ cultural personas (JA, DE, FR, ES, EN-UK, EN).

Validation of Edge Cases

Severity Hierarchy (The "Override Order")

The Safety Supervisor enforces the following priority logic (hardcoded in brain.py): 1. HARD BLOCK (HR/Legal) - Highest Priority * (Stops execution immediately. No correction allowed.) 2. UNSAFE (Tone/Culture correction) * (Only if not Hard Blocked.) 3. AMBIGUITY (Low Confidence) * (Only if considered "Safe" but confusing.)

Context-Awareness Results

The system successfully distinguished between: * ❌ Internal Threat: "We need to discuss your salary reduction." -> BLOCKED * ✅ External Business: "Client pricing proposal expectations." -> ALLOWED

Failure Mode Analysis

Edge Case: Sarcasm Detection

Issue: "Great job missing the deadline!" might be classified as praise. Mitigation: Context window includes previous messages to detect sentiment shifts. Confidence: Low (0.62) → Triggers HITL review.

Edge Case: Code Snippets in Messages

Issue: "Fix the user.salary field in the database" contains "salary" but is technical. Mitigation: Code fence detection (```) excludes content from HR scanning. Status: Implemented in v1.1.0

Edge Case: Multilingual Teams (Cultural Persona Router)

Issue: Non-English idioms or cultural norms may trigger false positives or cause friction. Mitigation: Language detection → route to language-specific prompts (Japanese Wa, German Sachlichkeit, etc.). Status: IMPLEMENTED v1.2.0

Phase 6: Sales Intelligence & ROI Verification

Issue: ROI calculations must be accurate and scenario generation must remain professional. - ROI Accuracy: Verified with multi-currency (USD, EUR, GBP) edge cases. - Scenario Professionalism: The ProspectingScout generates scenarios that avoid HR/Legal triggers (automated safety audit applied post-generation). - Status: PASSED v1.3.0

Signed: CommitVigil Automated Verification
Next Steps: Deploy to Staging.